jinyuan-jia / MemGuardLinks
☆46Updated 6 years ago
Alternatives and similar repositories for MemGuard
Users that are interested in MemGuard are comparing it to the libraries listed below
Sorting:
- Code for the paper: Label-Only Membership Inference Attacks☆67Updated 4 years ago
- ☆32Updated last year
- ☆22Updated 3 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆132Updated last year
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56Updated 6 years ago
- Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆200Updated 8 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆86Updated 4 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Updated 6 years ago
- Code for ML Doctor☆92Updated last year
- ☆26Updated 6 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆66Updated last year
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆50Updated 3 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆39Updated 6 years ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- ☆70Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆111Updated 3 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆72Updated last year
- ☆19Updated 2 years ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Updated 4 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- ☆21Updated last year
- Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Counte…☆84Updated 2 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆83Updated 2 years ago
- verifying machine unlearning by backdooring☆20Updated 2 years ago
- ☆30Updated 5 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆36Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Updated 3 years ago
- Code for Machine Learning Models that Remember Too Much (in CCS 2017)☆31Updated 8 years ago